GTM AI Index
Index › Vendors › Koalify · September 2026 Edition
1 category · Ranked

Koalify

19Judge labels
8First choices
0Negative labels
6 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Best standing
13% in CRM data quality for small business buyers
Rank 7 of 104 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 6 labels there were negative.
By buyer segmentStrongest at small business.
Small business4 of 115
13%11 labels
accepted challenger
Mid-market7 of 104
4%6 labels
under the label threshold
Enterprise41 of 104
0%2 labels
under the label threshold
In crm data quality · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Koalify for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
CRM data quality and deduplicationRevenue operations4%7 of 1040%6under 10 labels · led by Insycle at 34%

Movement

This is the first edition on this tier, so no move can be computed for Koalify yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Koalify across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash02002
Perplexity Sonar00000
Grok 4.1 Fast01001
Mistral Small01001
DeepSeek V4 Flash10001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K210001
GLM 4.7 FlashX00000
MiniMax M2.500000

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct5 labels2
Paraphrase1 labelNone
Comparative0 labelsNone
Budget-constrained10 labels5
Scale-constrained3 labels1
Negative0 labelsNone
First choiceAlternativeMentionNegative19 labels in all, every segment counted; 8 of the 8 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“the single best pick is Koalify \u2014 especially if you're on HubSpot” DeepSeek V4 Flash · CRM data quality · budget prompt · first choice
“I'd recommend Koalify (free) for HubSpot users” Kimi K2 · CRM data quality · budget prompt · first choice
“Why great value: Free plan includes unlimited merges/users... e.g., HubSpot? Go Koalify.” Grok 4.1 Fast · CRM data quality · budget prompt · alternative
“Koalify is a highly rated, low-cost native application” Gemini 3.5 Flash · CRM data quality · budget prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Koalify, over the 19 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Koalify was named but was not.
ProductSame answerTook the first choice insteadHead to head
Insycle19 of 196Not in the top three
Dedupely18 of 192Not in the top three
Cloudingo10 of 190Not in the top three
DataGroomr8 of 190Not in the top three
DemandTools8 of 190Not in the top three
Cleanlist7 of 190Not in the top three
OpenRefine6 of 191Not in the top three
ZoomInfo Operations6 of 191Not in the top three
HubSpot Operations Hub4 of 190Not in the top three
Pipedrive4 of 190Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Koalify. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 1 of the 19 answers that named Koalify and are not a share of its labels.

Domains cited

ecosystem.hubspot.com1
support.insycle.com1

Two of the two domain citations in answers naming Koalify came from somebody else's page.

Pages cited

ecosystem.hubspot.com/marketplace/apps/dedupely1
ecosystem.hubspot.com/marketplace/apps/koalify-io1
ecosystem.hubspot.com/marketplace/listing/dedup1
support.insycle.com/hc/en-us/articles/6585942693271-Pricing-and-Costs-Understanding-Insycl1

Pages are listed as the models cited them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Koalify's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Koalify, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at koalify.io is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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